revenue

You’ve created a great game, so why do players keep abandoning it? The answer is frictions— the obstacles and flaws that erode player satisfaction, disrupt immersion, and ultimately cause players to look elsewhere. This abandonment not only impacts your game and revenue but also your studio’s reputation for years to come.
In “Understanding Frictions” Akamai’s Nelson Rodriguez, a gaming industry insider who’s helped launch successful titles like Halo 3, will explain how to minimize frictions so you can maximize player enjoyment, loyalty, and revenue.
Read “Understanding Frictions” so you can analyze your game’s points of friction using our matrix and learn how to manage, reduce, or eliminate frictions at every development stage.

A Harvard Business Review Analytics Services White Paper
Finance is constantly tested to keep pace in today’s business environment. To keep up, planning needs to become a continuous process that spans departmental boundaries and enables managers to collectively realign resources to respond to market changes.
Organizations must streamline disparate sales and operational planning with traditional financial planning and analysis by using technology to connect people, data, and processes across the organization.
Download this white paper to discover the three steps to moving towards finance-led integrated business planning recommended by the Harvard Business Review.

In the last few years, businesses have changed the way they protect data.
Studies show they’re abandoning traditional backup and recovery in favor of disaster recovery as a service (DRaaS).1 With DRaaS, businesses enjoy the luxury of keeping a replica of their data hosted at a remote site that they can fail over to in an emergency—without bearing any of the infrastructure costs or maintenance responsibilities. All infrastructure and maintenance is the responsibility of the provider. Gartner predicts that global DRaaS revenue will reach $3.4 billion by 2019. The firm cited several reasons for the shift:

Agile and innovative companies like Netflix, Instagram, Amazon, Airbnb, and Uber have used exponential technologies to completely disrupt their industries. But some of the largest industries in the world have fallen prey to these and other disruptive companies. And most of them didn’t even see it coming. The convergence of exponential technologies, along with bold thinking and the willingness to take risks, is completely altering the business landscape. And that landscape is changing at an accelerating pace.
Disruption is occurring far more quickly than ever before. On average, an S&P 500 company is being replaced every 2 weeks, and over 40% of today’s Fortune 500 companies on the S&P 500 will no longer exist within 10 years. The only options are to disrupt yourself or be disrupted by your competition. Which will you choose? If you choose the former, do you know how to proceed? This guide shares strategies you can employ today to start future-proofing your company.

Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively.
So how can financial institutions respond to this growing threat?
Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs.
Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.

The EU's General Data Protection Regulation (GDPR) is the most stringent and burdensome privacy mandate in the world. The penalty for major violations can be up to 20 million euros or 4% of your company's annual global revenue.

In an age where your users demand no-fail experience, continuous testing has become a mission critical component for engineering teams of all sizes. However, while this topic was once discussed at lower levels, the conversation has made it all the way to the C-suite. No matter your industry, if your team isn’t thinking about testing at a high level, then there is a chance that you are missing out on revenue due to flawed app functionality, delayed releases and slowed innovation. It is important to understand the business benefits of continuous testing and automation to avoid these outcomes, and make the changes necessary to set your applications up for success.

At the center of every shopping experience is the payment process. The way that brands
connect their products and services to their customers, and in turn receive their payments, is
the foundation upon which shopping is built. Digital payments, both online and in-store, are
transforming that foundation.
80% of Americans are now shopping through online channels on at least a monthly basis, and digital payments have
become a primary stream of revenue for brands across all channels1. While offering digital payment options has the
potential to simplify life for customers and increase conversion rates, they are creating an additional layer of complexity
that is challenging to keep up with.
Between the expanding number of digital payment technologies, the increasing number of devices payments can be
completed on, and the continuous blurring of digital and physical buying experiences, it is critical to ensure payments will
be successful for every person on every device and in every location.

The goal of usability testing, simply put, is to make sure that a user can complete the tasks they are expected to
complete. Usability testing doesn’t test whether or not the functions of the application, website or connected device work correctly, but rather that a user intuitively understands how to perform these tasks — and how easy or difficult it was to do so.
With usability testing, “close enough” won’t cut it. A product may have a superior architecture, a great set of features, good performance, scalability and a number of other positive attributes. However, all of this effort is wasted if the user experience is inadequate. An application, website or connected device that is not user-friendly is just as bad
as a buggy version and can lead to diminished revenue, product abandonment or a total failure. An application with poor usability can also negatively affect a brand

From protecting customer experience to preserving lines of revenue, IT operations teams face increasingly complex responsibilities and are responsible for preventing outages that could harm the organization. As a Splunk customer, your machine data platform empowers you to utilize machine learning to reduce MTTR. Discover how six companies utilize machine learning and AI to predict outages, protect business revenue and deliver exceptional customer experiences.
Download the e-book to learn how:
Micron Technology reduced number of IT incidents by more than 50%
Econocom provides better customer service by centralizing once-siloed analytics, improving SLA performance and significantly reducing the number of events
TransUnion combines machine data from multiple applications to create an end-to-end transaction flow

Predictive IT is a powerful new approach that uses machine learning and artificial intelligence (AI) to predict incidents before they impact customers and end users. By using AI and predictive analytics, IT organizations are able to deliver seamless customer experiences that meet changing customer behavior and business demands. Discover the critical steps required to build your IT strategy, and learn how to harness predictive analytics to reduce operational inefficiencies and improve digital experiences.
Download this executive brief from CIO to learn:
5 steps to an effective predictive IT strategy
Where AI can help, and where it can’t
How to drive revenue and exceptional customer experiences with predictive analytics

When we released our first white paper in February 2015 discussing the ways multi-location businesses were using online media to drive in-store visits, most of the strategic opportunities being leveraged by marketers revolved around using things like promotional coupons, beacons and other tactics. While those methods certainly provided incremental lift in in-store traffic and revenue, there existed a number of gaps in connecting online data associated with promotional efforts, to data that indicated a customer actually converted offline at a business location. At press time for our original “online-to-offline” white paper, digital industry giants were still very much in the early stages of evaluating data points that signified offline customer conversions. Many of these “conversions” were somewhat implied (i.e. Clicks on “Get Directions” link), while others were a bit more reliable in signifying in-store visits and purchases made by consumers (i.e. downloadable coupon redeemed in-store

In our experience as franchise marketers, Local Ad Fund dollars provide a solid foundation for paid search campaigns that drive consistent, high quality-low cost, leads.
However many franchisees and local business owners could be doing more to support established corporate search marketing campaigns, ultimately capturing the maximum search interest for their services within their markets, driving increased local revenue.

Roughly five years ago, an industry shift occurred in franchising that saw many franchisers and their respective marketing teams hire multiple agencies, partners and vendors to conduct various marketing programs on their behalf.

EHR integration has never been a greater conundrum for clinical labs. On the one hand, it’s simply unaffordable. On the other, it’s quickly becoming a business requirement that will determine your lab’s long-term viability in an increasingly competitive market.
Download this white paper and you’ll discover a new, affordable, and innovative front-end integration approach that can:
• Reduce incomplete lab orders and associated labor costs
• Improve customer satisfaction and “stickiness” in your accounts
• Grow both new and existing customer revenue

People control their own consumer journeys. Consumers expect a borderless world in which they roam freely between a brand’s social media channels, email campaigns, blogs and e-commerce site, effortlessly buying things that catch their eye. It’s led to a sporadic, personalized shopping journey that frequently begins on digital touchpoints that weren’t built for commerce.
That’s made it increasingly complex for brands hoping to meet customers’ needs and measure the results of their marketing strategies.
At the center of this new customer-driven revolution is visual content. Images and videos play starring roles in the decisionmaking process, and provide consumers with a whole new level of inspiration and knowledge. Every picture and video clip is now the entrance to a digital storefront, meaning brands can use them to drive not only engagement but revenue.

Digital technology has completely
changed how we discover products, engage with brands and share our
experiences with others. Amazon revolutionized customer feedback
and product reviews. Social media transformed the way people share
word-of-mouth recommendations, connecting shoppers to off-the-cuff
opinions, compelling visual content and real-life experiences from peers
and influencers they follow and admire. Sure, TV, radio and print ads are
still part of the mix but they hardly carry the same weight as they did in
years passed. This statistic speaks volumes: 92% of consumers trust
peer recommendations over branded advertising. With the advent of
social media and digital technology, brands have a powerful new tool
at their disposal that brings word-of-mouth to the masses: usergenerated
content (UGC).

Marketing executives seek ways to generate incremental revenue from marketing programs. A major retailer used customer insights and a customer development framework to drive profitability and generate millions of dollars in incremental revenue and greater profitability.

Organizations do everything they can to maintain business continuity, as this significantly impacts their competitiveness and profitability. The cost of downtime is enormous; depending on the industry, organizations lose hundreds of thousands to millions of dollars for every hour of downtime from lost productivity and revenue, missed opportunities, and loss of reputation and customers. When ESG surveyed organizations about their downtime tolerance for primary production servers or systems, 51% reported that they could tolerate high priority applications being down for less than an hour, and 29% could tolerate high priority applications having less than 15 minutes of downtime.1

The all-flash array (AFA) market has undergone significant maturation over the past two years. A high percentage of customers have already committed to an "all flash for primary storage" strategy, and every customer interviewed for this study was among those. In 2017, AFAs will drive over 80% of all primary storage revenue. All of the established storage vendors have entered this space, and there are several start-ups with over $100 million in revenue. With this level of market maturation, multiple segments have developed within the primary flash array space. There are systems targeted for dedicated application deployment, there are systems specifically for web-scale applications, and there are systems intended for dense mixed workload consolidation. These latter systems are driving most of the AFA revenue, and they aspire to become the primary storage platforms of record for enterprises of all sizes. This study evaluates the suitability of 10 vendors' AFA platforms for dense mixed ent

Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage.